Australian data and meta-analysis lend support for alpha-synuclein (NACP-Rep1) as a risk factor for Parkinson's disease

It remains unclear whether genetic variants in SNCA (the alpha-synuclein gene) alter risk for sporadic Parkinson's disease (PD). The polymorphic mixed sequence repeat (NACP-Rep I) in the promoter region of SNCA has been previously examined as a potential susceptibility factor for PD with conflicting results. We report genotype and allele distributions at this locus from 369 PD cases and 370 control subjects of European Australian ancestry, with alleles designated as -1, 0, +1, +2, and +3 as previously described. Allele frequencies designated (0) were less common in Australian cases compared to controls (OR = 0.80, 95% CI 0.62-1.03). Combined analysis including all previously published ancestral European Rep1 data yielded a highly significant association between the 0 allele and a reduced risk for PD (OR = 0.79, 95% CI 0.70-0.89, p = 0.0001). Further study must now proceed to examine in detail this interesting and biologically plausible genetic association. (C) 2004 Elsevier Ireland Ltd. All rights reserved.

Disease risk and mortality prediction in intensive care patients with pneumonia. Australian and New Zealand practice in intensive care (ANZPIC II)

This study of ventilated patients investigated pneumonia risk factors and outcome predictors in 476 episodes of pneumonia (48% community-acquired pneumonia, 24% hospital-acquired pneumonia, 28% ventilator-associated pneumonia) using a prospective survey in 14 intensive care units within Australia and New Zealand. For community acquired pneumonia, mortality increased with immunosuppression (OR 5.32, CI 95% 1.58-17.99, P < 0. 01), clinical signs of consolidation (OR 2.43, CI 95% 1.09-5.44, P = 0. 03) and Sepsis-Related Organ Failure Assessment (SOFA) scores (OR 1.19, CI 95% 1.08-1.30, P < 0. 001) but improved if appropriate antibiotic changes were made within three days of intensive care unit admission (OR 0.42, CI 95% 0.20-0.86, P = 0.02). For hospital-acquired pneumonia, immunosuppression (OR 6.98, CI 95% 1.16-42.2, P = 0.03) and non-metastatic cancer (OR 3.78, CI 95% 1.20-11.93, P = 0.02) were the principal mortality predictors. Alcoholism (OR 7.80, CI 95% 1.20-1750, P < 0.001), high SOFA scores (OR 1.44, CI 95% 1.20-1.75, P = 0.001) and the isolation of high risk organisms including Pseudomonas aeruginosa, Acinetobacter spp, Stenotrophomonas spp and methicillin resistant Staphylococcus aureus (OR 4.79, CI 95% 1.43-16.03, P = 0.01), were associated with increased mortality in ventilator-associated pneumonia. The use of non-invasive ventilation was independently protective against mortality for patients with community-acquired and hospital-acquired pneumonia (OR 0.35, CI 95% 0.18-0.68, P = 0.002). Mortality was similar for patients requiting both invasive and non-invasive ventilation and non-invasive ventilation alone (21% compared with 20% respectively, P = 0.56). Pneumonia risks and mortality predictors in Australian and New Zealand ICUs vary with pneumonia type. A history of alcoholism is a major risk factor for mortality in ventilator-associated pneumonia, greater in magnitude than the mortality effect of immunosuppression in hospital-acquired pneumonia or community-acquired pneumonia. Non-invasive ventilation is associated with reduced ICU mortality. Clinical signs of consolidation worsen, while rationalising antibiotic therapy within three days of ICU admission improves mortality for community-acquired pneumonia patients.

Medication management at home: medication risk factor prevalence and inter-relationships

Background and objective: Patients can have medication-related risk factors associated with poor health outcomes that become evident through visiting them in their homes. These medication-related risk factors may not be apparent in pharmacy and general practitioner (GP) records. The aim was to determine the prevalence and inter-relationships of medication-related risk factors for poor patient health outcomes identifiable through 'in-home' observations. Methods: The design was a cross-sectional study of 204 general practice patients living in their own homes and at risk of medication-related poor health outcomes. Medication-related risk factors were identified in the patients' homes by community pharmacists and GPs. Results and discussion: The prevalence of risk factors varied from 8.3% (multiple medication storage locations) to 55.9% (confused by generic and trade names). There were many relationships observed between the medication-related risk factors, with expired medication having the most relationships with other risk factors followed by therapeutic duplication and poor adherence (9, 6 and 6 relationships respectively). Conclusion: Visiting patients' homes may identify medication-related risk factors not otherwise apparent through patient visits to the health practitioner when medications may be brought for review (i.e. 'brown bag' reviews).

Assessing the quality of risk factor survey data: lessons from the WHO MONICA Project

Background and purpose Survey data quality is a combination of the representativeness of the sample, the accuracy and precision of measurements, data processing and management with several subcomponents in each. The purpose of this paper is to show how, in the final risk factor surveys of the WHO MONICA Project, information on data quality were obtained, quantified, and used in the analysis. Methods and results In the WHO MONICA (Multinational MONItoring of trends and determinants in CArdiovascular disease) Project, the information about the data quality components was documented in retrospective quality assessment reports. On the basis of the documented information and the survey data, the quality of each data component was assessed and summarized using quality scores. The quality scores were used in sensitivity testing of the results both by excluding populations with low quality scores and by weighting the data by its quality scores. Conclusions Detailed documentation of all survey procedures with standardized protocols, training, and quality control are steps towards optimizing data quality. Quantifying data quality is a further step. Methods used in the WHO MONICA Project could be adopted to improve quality in other health surveys.

The Queensland Cancer Risk Study: Behavioural risk factor results

Objective: To describe the population prevalence of key cancer risk behaviours in Queensland. Methods: The Queensland Cancer Risk Study was a population-based survey of 9,419 Queensland residents aged 20-75 years. Information was collected through an anonymous, computer-assisted telephone interview between February and November 2004. Outcome measures included tobacco smoking, alcohol consumption, sun-tanning and sunburn, obesity physical inactivity and poor diet, weighted by age, gender and geographic region. Results: Prevalence of current smoking was 25.2% for males and 20.8% for females and was highest in the 20-39 year age group and in rural/remote areas. Two-thirds of participants regularly drank alcohol; of these, 63% consumed excessive amounts of alcohol. Excessive sun exposure is still a problem; 70% of Queenslanders reported an episode of sunburn and 12% reported attempting to get a suntan in the past year. More than half of the respondents (53.9%) were above the healthy weight range, and 17.1% of males and 18.4% of females were obese. Just over 40% of Queensland adults reported having insufficient levels of physical activity. Fewer than half of the participants met recommended levels of fruit or vegetable consumption. Conclusions and implications: The majority of Queensland adults exhibit known, modifiable cancer risk behaviours. These results suggest that continuing efforts to reduce the prevalence of these risk factors are warranted. Specifically, significant gains could be made by targeting behaviour change programs at younger Queenslanders (aged 20-39 years), men, and those living in remote/ very remote areas of Queensland.

Reduced variability of postural strategy prevents normalization of motor changes induced by back pain: A risk factor for chronic trouble?

Variability is fundamental to biological systems and is important in posturomotor learning and control. Pain induces a protective postural strategy, although variability is normally preserved. If variability is lost, does the normal postural strategy return when pain stops? Sixteen subjects performed arm movements during control trials, when the movement evoked back pain and then when it did not. Variability in the postural strategy of the abdominal muscles and pain-related cognitions were evaluated. Only those subjects for whom pain induced a reduction in variability of the postural strategy failed to return to a normal strategy when pain stopped. They were also characterized by their pain-related cognitions. Ongoing perception of threat to the back may exert tighter evaluative control over variability of the postural strategy.